A Study on the Effect of Drift Factor on Feature Optimization in Electronic Nose Detection by Minhao Cai, Sai Xu, Xingxing Zhou, Huazhong Lu, Xing Liang

“…Although the effect of drift on the performance of electronic noses is widely recognized, there is still a relative lack of research on how drift affects feature optimization. This study presents a novel idea that drift factors not only affect the direct readings of the sensor but may also have a profound effect on the feature optimization process and hence the compensation of the electronic nose. …”
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Mixed Gas Detection and Temperature Compensation Based on Photoacoustic Spectroscopy by Sun Chao, Hu Runze, Liu Niansong, Ding Jianjun

“…After comparing various optimized BP neural network models, the performance of the WOA-BP temperature compensation was the most outstanding, with an R2 of 97.89%, MAE of 1.4868, RMSE of 2.0416, and a convergence speed after 15 iterations, reducing detection errors and thus achieving precise detection of low-concentration mixed gases.…”
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Cell Outage Detection and Compensation in Two-Tier Heterogeneous Networks by Wenqian Xue, Hengzhi Zhang, Yong Li, Dong Liang, Mugen Peng

“…Power adjustment on each resource block is carried out via Lagrange optimizing algorithm to compensate the breakdown cell. …”
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Electronic Nose Humidity Compensation System Based on Rapid Detection by Minhao Cai, Sai Xu, Xingxing Zhou, Huazhong Lu

“…In this study, we present an electronic nose (e-nose) humidity compensation system based on rapid detection to solve the issue of humidity drift’s potential negative impact on the performance of electronic noses. …”
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Hybrid Optimization Method for Social Internet of Things Service Provision Based on Community Detection by Bahar Allakaram Tawfeeq, Amir Masoud Rahmani, Abbas Koochari, Nima Jafari Navimipour

Subjects: “…community detection…”
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Enhanced convolutional neural networks for defect detection in fiber-reinforced composites: a hyperparameter optimization approach by Pankaj Beldar, Rasika Chandramore, Sarika Jagtap, Dipali Bendale

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INS-Based Aeromagnetic Compensation: Sliding Window Optimization for Enhanced Accuracy by Xiaodong Liu, Jiarui Liu, Junqian Zhang, Wanhua Zhu, Qimao Zhang, Guangyou Fang

“…Additionally, by using sliding window technique, this method mitigates the “jumping” issue of the Euler angle approach near “gimbal lock”, the compensation performance is improved by 27.6%. The findings indicate that this method not only optimizes the magnetic compensation capability of small UAVs but also provides a new technical pathway for aeromagnetic measurement.…”
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Research on underwater target detection error compensation based on improved binocular vision by Wenhui Wang, Fumeng Ye, Yumin Peng, Shi Dong

“…A novel binocular vision error compensation method is proposed to solve the major error compensation problem caused by nonlinear distortion of camera and projector on underwater target detection. …”
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Numerical Optimization of Non-destructive Ultrasonic Testing in Identifying Defects in Composite Structure of Pine Tree Trunk by Mohammadreza Sheakholeslami, Mahdi Bayat Kazazi, Abbas Amoochi, Siamak Mazdak, Mohammad Reza Ghaderi, Mehdi Zeighami Salimabad

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A Nonlinear Compensation Method for Enhancing the Detection Accuracy of Weak Targets in FMCW Radar by Bo Wang, Tao Lai, Qingsong Wang, Haifeng Huang

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Impact and compensation of sample clock offset in I-CFDMA uplink by Dan DING, Nai-ping CHENG, Yu-rong LIAO

“…To achieve the sample clock synchronization in the interleaved code and frequency division multiple access(I-CFDMA)uplink,the I-CFDMA uplink model was established,and the disturbance of the sample clock offset(SCO)on the system model was discussed,in addition,the signal time shift,phase rotation,multi-user interference(MUI)and inter-carrier interference(ICI)caused by SCO were analyzed quantitatively.On this basis,a compensation method of multi-user SCO was proposed.For one thing,the relevant metric function was modified considering the SCO of each user; for another thing,a multi-user detection(MUD)algorithm based on harmony search was proposed.This algorithm has a higher efficiency than the commonly-used genetic algorithm(GA),as well as a performance approximate to that of optimal detection without SCO but with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mn>1</mn> <mrow> <mn>64</mn></mrow> </mfrac> </math></inline-formula> computational burden.The computer simulation results validate the conclusions obtained.…”
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Graphene-Doped Piezoelectric Transducers by Kriging Optimal Model for Detecting Various Types of Laryngeal Movements by Ming-Chan Lee, Cheng-Tang Pan, Shuo-Yu Juan, Zhi-Hong Wen, Jin-Hao Xu, Uyanahewa Gamage Shashini Janesha, Fan-Min Lin

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Dynamic Parameterization and Optimized Flight Paths for Enhanced Aeromagnetic Compensation in Large Unmanned Aerial Vehicles by Zhentao Yu, Liwei Ye, Can Ding, Cheng Chi, Cong Liu, Pu Cheng

“…Aeromagnetic compensation aims to mitigate these platform-induced magnetic disturbances, thereby enhancing the accuracy of magnetic anomaly detection. …”
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CALCULATION OF ACTUAL MODIFICATION OF CYCLOIDAL GEAR BASED ON OPTIMAL APPROXIMATION PRINCIPLE by ZHOU JingYuan, LI TianXing, SU JianXin, WANG Bin, ZHANG RuiYao

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MULTI–CRITERIA OPTIMIZATION OF A PRODUCT RECIPE COMPOSITION by Marina A. Nikitina, Irina M. Chernukha

“…The use of the IT-technologies realized by the methods of multi-criteria structure optimization and mathematical programming allows correcting and optimizing food recipes by different criteria of the non-linear character, structuring the obtained set of alternatives and detecting the optimal food recipe option with the targeted quality, composition and properties or a diet for a particular population category with consideration for the therapeutic and prophylactic direction.…”
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Research on Wafer CMP Temperature Online Detection Compensation Algorithm Based on GA-BP Improved Neural Network by Binjie Li, Kuan Shen, Zhilong Song, Binghai Lyu, Wenhong Zhao

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Gradient Boosting Feature Selection for Integrated Fault Diagnosis in Series-Compensated Transmission Lines by Rab Nawaz, Abdul Wadood, Khawaja Khalid Mehmood, Syed Basit Ali Bukhari, Hani Albalawi, Aadel Mohammed Alatwi, Muhammad Sajid

“…This study introduces an innovative method to analyze the waveforms of fault signals, utilizing advances in Internet and sensor technologies that provide extensive voltage and current data in a time-series form. By optimizing each phase of data processing from feature extraction to model learning, the proposed system effectively addresses fault detection, classification, and localization as a multi-classification problem. …”
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Review of machine learning applications for defect detection in composite materials by Vahid Daghigh, Hamid Daghigh, Thomas E. Lacy, Jr., Mohammad Naraghi

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Optimization of Dust Spray Parameters for Simulated LiDAR Sensor Contamination in Autonomous Vehicles Using a Face-Centered Composite Design by Sungho Son, Hyunmi Lee, Jiwoong Yang, Jungki Lee, Jeongah Jang, Charyung Kim, Joonho Jun, Hyungwon Park, Sunyoung Park, Woongsu Lee

Subjects: “…light detection and ranging sensor…”
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Spatiotemporal Land Use Change Detection Through Automated Sampling and Multi-Feature Composite Analysis: A Case Study of the Ebinur Lake Basin by Yi Yang, Liang Zhao, Ya Guo, Shihua Liu, Xiang Qin, Yixiao Li, Xiaoqiong Jiang

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